wjyalx's Stars
xinychen/tensor-book
张量计算系列教程 (Tensor Computations Tutorials)
stefaniafresca/DL-ROM-Meth
Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.
yifanc96/NonLinPDEs-GPsolver
Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
levimcclenny/SA-PINNs
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
pfabo/pse-pyQt
Python & Simulator & Editor, Version pyQt (no longer supported)
flet-dev/flet
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
okada39/pinn_burgers
Physics Informed Neural Network (PINN) for Burgers' equation.
ASEM000/Physics-informed-neural-network-in-JAX
Example problems in Physics informed neural network in JAX
boschresearch/torchphysics
googleinterns/invobs-data-assimilation
zhangqian-sh/PINN-JAX
Implementation of PINN (JCP2019) in JAX
flymysql/Py-Compiler
一个用python写的编译器
tankwin08/waveformlidar
waveform LiDAR data processing and analysis
qzhe-mechanics/DataAssi-transport
rasin-tsukuba/JAX_tutorial_Chinese_version
Translate from: https://jax.readthedocs.io/en/latest
gordicaleksa/get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
TheAlgorithms/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
ucl-bug/jaxdf
A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations
scaomath/galerkin-transformer
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
Hedgehog-Computing/hedgehog-lab
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
trekhleb/javascript-algorithms
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
wukekever/DGM-and-DRM
PINN, DGM and DRM
PredictiveIntelligenceLab/Physics-informed-DeepONets
zaxlct/python-django-learning
🍺 python 和 diango 学习资料,书籍,文章,以及实战项目等等
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
BayesWitnesses/m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
caijc00/programmer_bookshelf_cn
📚 一个程序员的书架